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Study on ballistocardiogram acquisition in a moving wheelchair with embedded sensors

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Warianty tytułu
Języki publikacji
PL
Abstrakty
EN
Embedding cardiac system sensing devices in wheelchairs is both necessary and attractive. Elders, diabetics, or stroke victims are a substantial group needing permanent cardiac monitoring, without restriction of their already limited mobility. A set of sensing devices was embedded in a wheelchair to monitor the user without his awareness and intervention. A dual-wavelength reflection photoplethysmogram (PPG), and a ballistocardiogram (BCG) based on MEMS accelerometers and on electromechanical film sensors are output by the hardware. Tests were conduced on twenty one subjects, for an immobility scenario. Additional recordings were made for helped propulsion over a tiled floor course, with good results in keeping track of acceleration BCG and PPG. A treadmill was also used for tests, providing a smooth floor and constant speed and inclination. The PPG and acceleration BCG could be continuously monitored in all the tests. The developed system proves to be a good solution to monitor cardiac activity of wheelchair users even during motion.
Rocznik
Strony
739--750
Opis fizyczny
Bibliogr. 29 poz., rys., wykr.
Twórcy
autor
autor
  • Instituto de Telecomunicaçoes and Instituto Superior Técnico/UTL, Av. Rovisco Pais, 1, 1049-001 Lisbon, Portugal, eduardo.pinheiro@lx.it.pt
Bibliografia
  • [1] Kumar, S., Kambhatla, K., Hu, F., Lifson, M., Xiao, Y. (2008). Ubiquitous computing for remote cardiac patient monitoring: a survey. International Journal of Telemedicine and Applications, (1), 1-19.
  • [2] Postolache, O., Girão, P.S., Pinheiro, E.C., Postolache, G. (2010). Unobtrusive and non-invasive sensing solutions for on-line physiological parameters monitoring. Lay-Ekuakille, A., Mukhopadhyay, S. (eds.). Wearable and Autonomous Biomed. Devices and Systems for Smart Environment, 75, Springer, 277-314.
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  • [28] Pinheiro, E., Postolache, O., Girão, P. (2012). Empirical mode decomposition and principal component analysis implementation in processing non-invasive cardiovascular signals. Measurement, 45(2), 175-181.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSW1-0106-0010
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